Business Analysts

MACHINE LEARNING TECHNOLOGIES LLC; New York (NY); On-site; USD 79,000 - 107,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in New York City seeks an experienced Business Analyst / System Analyst with strong P&C insurance domain expertise and data-mapping know‑how. You will translate business requirements into functional and data specifications and collaborate with finance, reporting and operations teams to support data, reporting and analytics transformations.

Your role includes leading discovery, documenting BRDs and user stories, and guiding data integration and analytics

Qualifications

• 10+ years of experience in Business Analysis, Systems Analysis, Insurance Consulting or Financial Services Consulting.
• Strong P&C Insurance domain knowledge and MGA/MGU/Carrier exposure preferred.
• Hands-on data mapping and transformation requirement experience.
• Experience with BI, reporting and analytics transformation projects.

Responsibilities

• Lead discovery and requirements sessions with finance, reporting and insurance operations teams.
• Translate business needs into clear business, functional and data requirements.
• Prepare BRDs, functional specs, user stories, and process flows.
• Validate data mappings and support data integration and analytics initiatives.
• Collaborate with onshore/offshore teams and support UAT.

Skills

Business Analysis

Data Mapping

Stakeholder Management

SQL

Communication

Requirements Gathering

Finance/Reporting

Tools

SQL

Job description

Job Details

• Job ID: J54527
• Job Title: Business Analysts
• Location: New York City, NY
• Duration: 12 Months + Extension
• Domain Exposure: Real Estate
• Bill Rate: $67/hour (C2C)
• Job Type: W-2, 1099, C2C
• Client: To Be Discussed Later
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

We are seeking an experienced Business Analyst / System Analyst with strong expertise in the Property & Casualty (P&C) Insurance domain, preferably with hands‑on experience in MGA (Managing General Agent), MGU (Managing General Underwriter) or Insurance Carrier environments. The ideal candidate should have a combination of insurance domain knowledge, business analysis capabilities, and hands‑on data mapping experience. The candidate will act as an insurance and finance domain consultant, working closely with business stakeholders, finance, reporting and operations teams to understand business requirements, translate them into functional and data specifications, and support data, reporting and analytics transformation initiatives.

Key Responsibilities

• Business Analysis & Requirements Gathering
• Lead discovery and requirement-gathering sessions with finance, reporting and insurance operations teams.
• Understand current‑state business processes, reporting requirements and operational challenges.
• Translate business needs into clear business, functional and data requirements.
• Prepare BRDs, functional specifications, user stories, process flows and supporting documentation.
• Facilitate stakeholder discussions and obtain consensus and sign‑off on requirements.
• Data Mapping & Analysis
• Perform source-to-target data mapping and document data definitions, transformation rules and business logic.
• Analyze data flows across insurance applications, reporting platforms and downstream systems.
• Validate data accuracy, completeness, consistency and business logic.
• Work closely with technical and data engineering teams to clarify mapping requirements and resolve data‑related issues.
• Support data integration, migration and analytics transformation initiatives.
• P&C Insurance Domain & Finance Expertise
• Demonstrate a strong understanding of P&C Insurance business processes.
• Understand MGA/MGU/Insurance Carrier operations and insurance finance processes.
• Review and validate reports, dashboards and analytics related to premiums, claims, reserving, statutory reporting and management reporting.
• Understand insurance accounting, financial reporting and month‑end close processes.
• Ensure proposed solutions align with insurance business rules and operational requirements.
• Delivery, Testing & Stakeholder Management
• Support backlog refinement, functional reviews and solution validation.
• Define and execute UAT scenarios and support business users during testing.
• Identify business risks, dependencies and scope changes and recommend mitigation plans.
• Work closely with onshore and offshore delivery teams to ensure successful implementation.
• Support change management, user training and adoption.
• Roadmap & Governance
• Identify and prioritize business use cases based on value, feasibility and effort.
• Contribute to project roadmaps, KPIs and delivery milestones.
• Provide regular project updates and support stakeholder and steering committee discussions.
• Mentor offshore analysts and contribute to reusable business analysis templates and best practices.

Required Skills & Experience

• 10+ years of experience in Business Analysis, Systems Analysis, Insurance Consulting or Financial Services Consulting.
• Strong experience in the P&C Insurance (Property & Casualty) domain.
• Experience working with MGA, MGU or Insurance Carrier environments is highly preferred.
• Hands‑on experience in data mapping, source-to-target mapping and data transformation requirements.
• Strong understanding of insurance processes, including premiums, claims, reserving and financial reporting.
• Experience in BI, reporting, data or analytics transformation projects.
• Experience in requirements gathering, functional documentation, stakeholder management and UAT.
• Knowledge of SQL and data analysis is preferred.
• Experience working in Agile or phased delivery environments.
• Excellent communication, presentation, facilitation and stakeholder management skills.

Preferred Candidate Background

• P&C / Specialty Insurance.
• MGA / MGU / Insurance Carrier.
• London Market Insurance.
• Insurance Finance and Regulatory Reporting.
• Insurance Data Mapping and Analytics Transformation.
• Insurance Core Systems and Reporting Platforms.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.